Question

我正在尝试将转换后的etl表保存到特定目录中的CSV文件中。我有以下方法：

def save_transformed_data_to_csv(self, data, path):
    fund = data.values('FundCode')[0]
    # 'convert' transforms date strings into datetime objects 
    start_date = convert(data.values('PositionStartDate')[0], date)
    end_date = convert(data.values('PositionDate')[0], date)

    filename = 'citco_transformed_positions_{fund}_{start}_{end}.csv'.format(fund=fund, start=start_date, end=end_date)     
    filepath = Path(path, filename)
    data.tocsv(filepath)

打印出格式化的文件名将返回以下内容：

citco_transformed_positions_>PWPR1_2018-07-01_2018-07-11.csv 我这样称呼它：

# Store transformed data for unmapping processing
loader.save_transformed_data_to_csv(transformed_data, '/Users/cgrijalva/Misc/UnmappedPositions')

运行它时，出现以下错误：

OSError: [Errno 22] Invalid argument: '\\Users\\cgrijalva\\Misc\\UnmappedPositions\\citco_transformed_positions_>PWPR1_2018-07-01_2018-07-11.csv'

Answer 1

正如Rakesh所指出的，文件名或路径中不能包含>。一种解决方法是：

import re
fname = 'citco_transformed_positions_{fund}_{start}_{end}.csv'.format(fund=fund, start=start_date, end=end_date)
fname = re.sub('[^\w\-_\. ]', '_', fname)
print(fname)
citco_transformed_positions__PWPR1_2018-07-01_2018-07-11.csv

正确写入路径以保存文件

1 个答案: